DocumentCode :
3078134
Title :
Extraction of acne lesion in acne patients from multispectral images
Author :
Fujii, Hideaki ; Yanagisawa, Takashi ; Mitsui, Masanori ; Murakami, Yuri ; Yamaguchi, Masahiro ; Ohyama, Nagaaki ; Abe, Tokiya ; Yokoi, Ikumi ; Matsuoka, Yoshie ; Kubota, Yasuo
Author_Institution :
Tokyo Institute of Technology, Imaging Science and Engineering Laboratory 4259 Nagatsuta-cho, Midori-ku, Yokohama, Kanagawa, 226-8503 Japan
fYear :
2008
fDate :
20-25 Aug. 2008
Firstpage :
4078
Lastpage :
4081
Abstract :
In acne treatment, it is important to accurately evaluate the severity of Acne. The acne should be classified into several skin lesions including comedo, reddish papule, pustule, and scar. However, in some cases, a visual detection from RGB image maybe difficult for the proper evaluation of acne skin lesions. This paper proposes an extraction method using the spectral information of the various type of acne skin lesions calculated from the multispectral images (MSI) of the lesions. In the experiment, we showed the possibility of classifying acne lesion types by applying a combination of several linear discriminant functions (LDF´s).
Keywords :
Biomedical engineering; Cameras; Data mining; Image color analysis; Lesions; Lighting; Multispectral imaging; Power engineering and energy; Reflectivity; Skin; Acne Vulgaris; Algorithms; Dermatology; Diagnosis, Computer-Assisted; Equipment Design; Face; Humans; Image Processing, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Skin; Spectrophotometry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
ISSN :
1557-170X
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2008.4650105
Filename :
4650105
Link To Document :
بازگشت